An outstandingly good 20 minute talk; Hans Rosling (Swedish Statistician) explains data visualization using mortality vs life expectancy, in 200 countries over 200 years, as a 4-minute example. Your talks will be less of a sales pitch, and aimed at a more expert audience - but think about the way he is keeping the audience engaged

A few minutes of Richard Feynman, explaining some connections between Physics and Math. His example is extremely clear, but also note how he paces the material for the audience - not himself

Two similar talks (both are good); Peter Donnelly explains the prosecutor's fallacy to a non-expert audience. David Spieglhalter discusses the same idea for an even-less-expert audience, but using more graphics - and in a lot less time

Assignment: --- for your selected paper:

Search the bibliography of your paper and list the (3) most
highly papers that your paper also referenced. (and note the
number of citations for each).

Summarize the papers that have cited your project paper. Are
there themes (methodologically, scientifically) that are
apparent?

Also look at citations in the "second generation" -- e.g.
citations among papers that cite your project paper.

Strunk and White The Elements of Style is a classic style guide. 'Classic' also means 'old', so don't treat it as gospel - and it is far from perfect. Also, technical writing is often slightly more formal than their 'style'.

Williams and Colomb's point about 'Noun + Noun + Noun' was made (grumpily, but in Science) by Milton Hildebrand (1983). He was subsequently criticized by Baer (1983), who recommended using hyphens where possible

The goals of the introductory presentation are to introduce the
paper and to motivate the work. A key part of any talk/paper is
showing the audience the need for new methods/theory. This
typically involves both scientific motivation using an example
or data set, and statistical motivation indicating that no
adequate solution exists (e.g. the need for something new!).
Basic elements of the first talk could include:

Your literature review should provide a summary of the major background literature, and should establish motivation for the work in your paper. This may look similar to the lit review in your paper, but your version will probably need to be written for a less-expert audience, e.g. for those who've had the material up to and including the 570s, but are not familiar with other material.

The goal of this exercise is to give you practice in this important part of scholarly research, and to develop your background knowledge of the statistical area of focus.

A key part of this exercise is organizing the material; you may find it helpful to summarize major themes in turn (e.g. Empirical Bayes, then measurement error), and then identify novel relationships between these, and/or gaps in the methodological literature (e.g. use of Empirical Bayes for measurement error problems)

Your review should be between 2-4 pages. Use BiBTeX for reference management and citation within your report.

The goal of the "update talks" is for the student to make progress on their paper. In the update talks, students can present on issues that have arisen, and we will allow time for discussion of potential solutions. Please edit your first talk (as needed) and then add new slides that describe your progress. Focus on one or more of the following:Your final presentation should include these elements and therefore the update should represent the logical next step in your work. Please aim to take your allocated 15 minutes, and don't feel the need to review any earlier slides beyond the single slide that reminds us of the basic problem.